The emails span a period from October 2018 through February 2020, beginning when Clearview AI CEO Hoan Ton-That was introduced to NYPD deputy inspector Chris Flanagan. After initial meetings, Clearview AI entered into a vendor contract with NYPD in December 2018 on a trial basis that lasted until the following March.
The documents show that many individuals at NYPD had access to Clearview during and after this time, from department leadership to junior officers. Throughout the exchanges, Clearview AI encouraged more use of its services. (“See if you can reach 100 searches,” its onboarding instructions urged officers.) The emails show that trial accounts for the NYPD were created as late as February 2020, almost a year after the trial period was said to have ended.
We reviewed the emails, and talked to top surveillance and legal experts about their contents. Here’s what you need to know.
NYPD lied about the extent of its relationship with Clearview AI and the use of its facial recognition technology
The NYPD told BuzzFeed News and the New York Post previously that it had “no institutional relationship” with Clearview AI, “formally or informally.” The department did disclose that it had trialed Clearview AI, but the emails show that the technology was used over a sustained time period by a large number of people who completed a high volume of searches in real investigations.
In one exchange, a detective working in the department’s facial recognition unit said, “App is working great.” In another, an officer on the NYPD’s identity theft squad said that “we continue to receive positive results” and have “gone on to make arrests.” (We have removed full names and email addresses from these images; other personal details were redacted in the original documents.)
Albert Fox Cahn, executive director at the Surveillance Technology Oversight Project, a nonprofit that advocates for the abolition of police use of facial recognition technology in New York City, says the records clearly contradict NYPD’s previous public statements on its use of Clearview AI.
“Here we have a pattern of officers getting Clearview accounts—not for weeks or months, but over the course of years,” he says. “We have evidence of meetings with officials at the highest level of the NYPD, including the facial identification section. This isn’t a few officers who decide to go off and get a trial account. This was a systematic adoption of Clearview’s facial recognition technology to target New Yorkers.”
Further, NYPD’s description of its facial recognition use, which is required under a recently passed law, says that “investigators compare probe images obtained during investigations with a controlled and limited group of photographs already within possession of the NYPD.” Clearview AI is known for its database of over 3 billion photos scraped from the web.
NYPD is working closely with immigration enforcement, and officers referred Clearview AI to ICE
The documents contain multiple emails from the NYPD that appear to be referrals to aid Clearview in selling its technology to the Department of Homeland Security. Two police officers had both NYPD and Homeland Security affiliations in their email signature, while another officer identified as a member of a Homeland Security task force.
“There just seems to be so much communication, maybe data sharing, and so much unregulated use of technology.”
New York is designated as a sanctuary city, meaning that local law enforcement limits its cooperation with federal immigration agencies. In fact, NYPD’s facial recognition policy statement says that “information is not shared in furtherance of immigration enforcement” and “access will not be given to other agencies for purposes of furthering immigration enforcement.”
“I think one of the big takeaways is just how lawless and unregulated the interactions and surveillance and data sharing landscape is between local police, federal law enforcement, immigration enforcement,” says Matthew Guariglia, an analyst at the Electronic Frontier Foundation. “There just seems to be so much communication, maybe data sharing, and so much unregulated use of technology.”
Cahn says the emails immediately ring alarm bells, particularly since a great deal of law enforcement information funnels through central systems known as fusion centers.
“You can claim you’re a sanctuary city all you want, but as long as you continue to have these DHS task forces, as long as you continue to have information fusion centers that allow real-time data exchange with DHS, you’re making that promise into a lie.”
Many officers asked to use Clearview AI on their personal devices or through their personal email accounts
At least four officers asked for access to Clearview’s app on their personal devices or through personal emails. Department devices are closely regulated, and it can be difficult to download applications to official NYPD mobile phones. Some officers clearly opted to use their personal devices when department phones were too restrictive.
Clearview replied to this email, “Hi William, you should have a setup email in your inbox shortly.”
Jonathan McCoy is a digital forensics attorney at Legal Aid Society and took part in filing the freedom of information request. He found the use of personal devices particularly troublesome: “My takeaway is that they were actively trying to circumvent NYPD policies and procedures that state that if you’re going to be using facial recognition technology, you have to go through FIS (facial identification section) and they have to use the technology that’s already been approved by the NYPD wholesale.” NYPD does already have a facial recognition system, provided by a company called Dataworks.
The Frost nails its uncanny, disconcerting vibe in its first few shots. Vast icy mountains, a makeshift camp of military-style tents, a group of people huddled around a fire, barking dogs. It’s familiar stuff, yet weird enough to plant a growing seed of dread. There’s something wrong here.
Welcome to the unsettling world of AI moviemaking. The Frost is a 12-minute movie from Detroit-based video creation company Waymark in which every shot is generated by an image-making AI. It’s one of the most impressive—and bizarre—examples yet of this strange new genre. Read the full story, and take an exclusive look at the movie.
—Will Douglas Heaven
Microplastics are everywhere. What does that mean for our immune systems?
Microplastics are pretty much everywhere you look. These tiny pieces of plastic pollution, less than five millimeters across, have been found in human blood, breast milk, and placentas. They’re even in our drinking water and the air we breathe.
Given their ubiquity, it’s worth considering what we know about microplastics. What are they doing to us?
The short answer is: we don’t really know. But scientists have begun to build a picture of their potential effects from early studies in animals and clumps of cells, and new research suggests that they could affect not only the health of our body tissues, but our immune systems more generally. Read the full story.
Here, bits of plastic can end up collecting various types of bacteria, which cling to their surfaces. Seabirds that ingest them not only end up with a stomach full of plastic—which can end up starving them—but also get introduced to types of bacteria that they wouldn’t encounter otherwise. It seems to disturb their gut microbiomes.
There are similar concerns for humans. These tiny bits of plastic, floating and flying all over the world, could act as a “Trojan horse,” introducing harmful drug-resistant bacteria and their genes, as some researchers put it.
It’s a deeply unsettling thought. As research plows on, hopefully we’ll learn not only what microplastics are doing to us, but how we might tackle the problem.
Read more from Tech Review’s archive
It is too simplistic to say we should ban all plastic. But we could do with revolutionizing the way we recycle it, as my colleague Casey Crownhart pointed out in an article published last year.
We can use sewage to track the rise of antimicrobial-resistant bacteria, as I wrote in a previous edition of the Checkup. At this point, we need all the help we can get …
… which is partly why scientists are also exploring the possibility of using tiny viruses to treat drug-resistant bacterial infections. Phages were discovered around 100 years ago and are due a comeback!
Our immune systems are incredibly complicated. And sex matters: there are important differences between the immune systems of men and women, as Sandeep Ravindran wrote in this feature, which ran in our magazine issue on gender.
Artists are often the first to experiment with new technology. But the immediate future of generative video is being shaped by the advertising industry.Waymark made The Frost to explore how generative AI could be built into its products. The company makes video creation tools for businesses looking for a fast and cheap way to make commercials. Waymark is one of several startups, alongside firms such as Softcube and Vedia AI, that offer bespoke video ads for clients with just a few clicks.
Waymark’s current tech, launched at the start of the year, pulls together several different AI techniques, including large language models, image recognition, and speech synthesis, to generate a video ad on the fly. Waymark also drew on its large data set of non-AI-generated commercials created for previous customers. “We have hundreds of thousands of videos,” says CEO Alex Persky-Stern. “We’ve pulled the best of those and trained it on what a good video looks like.”
To use Waymark’s tool, which it offers as part of a tiered subscription service starting at $25 a month, users supply the web address or social media accounts for their business, and it goes off and gathers all the text and images it can find. It then uses that data to generate a commercial, using OpenAI’s GPT-3 to write a script that is read aloud by a synthesized voice over selected images that highlight the business. A slick minute-long commercial can be generated in seconds. Users can edit the result if they wish, tweaking the script, editing images, choosing a different voice, and so on. Waymark says that more than 100,000 people have used its tool so far.
The trouble is that not every business has a website or images to draw from, says Parker. “An accountant or a therapist might have no assets at all,” he says.
Waymark’s next idea is to use generative AI to create images and video for businesses that don’t yet have any—or don’t want to use the ones they have. “That’s the thrust behind making The Frost,” says Parker. “Create a world, a vibe.”
The Frost has a vibe, for sure. But it is also janky. “It’s not a perfect medium yet by any means,” says Rubin. “It was a bit of a struggle to get certain things from DALL-E, like emotional responses in faces. But at other times, it delighted us. We’d be like, ‘Oh my God, this is magic happening before our eyes.’”
This hit-and-miss process will improve as the technology gets better. DALL-E 2, which Waymark used to make The Frost, was released just a year ago. Video generation tools that generate short clips have only been around for a few months.
The most revolutionary aspect of the technology is being able to generate new shots whenever you want them, says Rubin: “With 15 minutes of trial and error, you get that shot you wanted that fits perfectly into a sequence.” He remembers cutting the film together and needing particular shots, like a close-up of a boot on a mountainside. With DALL-E, he could just call it up. “It’s mind-blowing,” he says. “That’s when it started to be a real eye-opening experience as a filmmaker.”